4 citations · 6 across the 21 of their papers we have counts for
22 papers
Behavior-Skill: A Fine-Grained Benchmark for Evaluating Vision-Language-Action Policies in Long-Horizon Tasks
Chunyun Ma, Lun Luo, Xingjian Luo +7
Reliable execution of long-horizon mobile manipulation tasks remains challenging because overall task success depends on the successful completion of multiple constituent skills. E…
DexPIE: Stable Dexterous Policy Improvement from Real-World Experience
Ruizhe Liao, Wenrui Chen, Liangji Zeng +4
Dexterous manipulation presents substantial challenges for imitation learning due to its high-dimensional action space and complex contact-rich dynamics. Policies trained purely fr…
Unsupervised MR-US Multimodal Image Registration with Multilevel Correlation Pyramidal Optimization
Jiazheng Wang, Zeyu Liu, Min Liu +4
Surgical navigation based on multimodal image registration has played a significant role in providing intraoperative guidance to surgeons by showing the relative position of the ta…
FMIR, a foundation model-based Image Registration Framework for Robust Image Registration
Fengting Zhang, Yue He, Qinghao Liu +3
Deep learning has revolutionized medical image registration by achieving unprecedented speeds, yet its clinical application is hindered by a limited ability to generalize beyond th…
Reg-TTR, Test-Time Refinement for Fast, Robust and Accurate Image Registration
Lin Chen, Yue He, Fengting Zhang +4
Traditional image registration methods are robust but slow due to their iterative nature. While deep learning has accelerated inference, it often struggles with domain shifts. Emer…
A Step to Decouple Optimization in 3DGS
Renjie Ding, Yaonan Wang, Min Liu +6
3D Gaussian Splatting (3DGS) has emerged as a powerful technique for real-time novel view synthesis. As an explicit representation optimized through gradient propagation among prim…
Automated Neural Architecture Design for Industrial Defect Detection
Yuxi Liu, Yunfeng Ma, Yi Tang +3
Industrial surface defect detection (SDD) is critical for ensuring product quality and manufacturing reliability. Due to the diverse shapes and sizes of surface defects, SDD faces…
Mono3DVG-EnSD: Enhanced Spatial-aware and Dimension-decoupled Text Encoding for Monocular 3D Visual Grounding
Yuzhen Li, Min Liu, Zhaoyang Li +4
Monocular 3D Visual Grounding (Mono3DVG) is an emerging task that locates 3D objects in RGB images using text descriptions with geometric cues. However, existing methods face two k…
A Dual-stage Prompt-driven Privacy-preserving Paradigm for Person Re-Identification
Ruolin Li, Min Liu, Yuan Bian +4
With growing concerns over data privacy, researchers have started using virtual data as an alternative to sensitive real-world images for training person re-identification (Re-ID)…
Ideal Registration? Segmentation is All You Need
Xiang Chen, Fengting Zhang, Qinghao Liu +4
Deep learning has revolutionized image registration by its ability to handle diverse tasks while achieving significant speed advantages over conventional approaches. Current approa…
SAMIR, an efficient registration framework via robust feature learning from SAM
Yue He, Min Liu, Qinghao Liu +4
Image registration is a fundamental task in medical image analysis. Deformations are often closely related to the morphological characteristics of tissues, making accurate feature…
Resilient Multimodal Industrial Surface Defect Detection with Uncertain Sensors Availability
Shuai Jiang, Yunfeng Ma, Jingyu Zhou +3
Multimodal industrial surface defect detection (MISDD) aims to identify and locate defect in industrial products by fusing RGB and 3D modalities. This article focuses on modality-m…
Encoder-Only Image Registration
Xiang Chen, Renjiu Hu, Jinwei Zhang +5
Learning-based techniques have significantly improved the accuracy and speed of deformable image registration. However, challenges such as reducing computational complexity and han…
Dual Enhancement on 3D Vision-Language Perception for Monocular 3D Visual Grounding
Yuzhen Li, Min Liu, Yuan Bian +4
Monocular 3D visual grounding is a novel task that aims to locate 3D objects in RGB images using text descriptions with explicit geometry information. Despite the inclusion of geom…
Unsupervised Deformable Image Registration with Structural Nonparametric Smoothing
Hang Zhang, Xiang Chen, Renjiu Hu +7
Learning-based deformable image registration (DIR) accelerates alignment by amortizing traditional optimization via neural networks. Label supervision further enhances accuracy, en…
Reconsider the Template Mesh in Deep Learning-based Mesh Reconstruction
Fengting Zhang, Boxu Liang, Qinghao Liu +3
Mesh reconstruction is a cornerstone process across various applications, including in-silico trials, digital twins, surgical planning, and navigation. Recent advancements in deep…
Prompt-driven Transferable Adversarial Attack on Person Re-Identification with Attribute-aware Textual Inversion
Yuan Bian, Min Liu, Yunqi Yi +2
Person re-identification (re-id) models are vital in security surveillance systems, requiring transferable adversarial attacks to explore the vulnerabilities of them. Recently, vis…
Modality Unified Attack for Omni-Modality Person Re-Identification
Yuan Bian, Min Liu, Yunqi Yi +3
Deep learning based person re-identification (re-id) models have been widely employed in surveillance systems. Recent studies have demonstrated that black-box single-modality and c…
Fidelity-Imposed Displacement Editing for the Learn2Reg 2024 SHG-BF Challenge
Jiacheng Wang, Xiang Chen, Renjiu Hu +5
Co-examination of second-harmonic generation (SHG) and bright-field (BF) microscopy enables the differentiation of tissue components and collagen fibers, aiding the analysis of hum…
Large Scale Unsupervised Brain MRI Image Registration Solution for Learn2Reg 2024
Yuxi Zhang, Xiang Chen, Jiazheng Wang +5
In this paper, we summarize the methods and experimental results we proposed for Task 2 in the learn2reg 2024 Challenge. This task focuses on unsupervised registration of anatomica…
Unsupervised Multimodal 3D Medical Image Registration with Multilevel Correlation Balanced Optimization
Jiazheng Wang, Xiang Chen, Yuxi Zhang +3
Surgical navigation based on multimodal image registration has played a significant role in providing intraoperative guidance to surgeons by showing the relative position of the ta…
Learning to Learn Transferable Generative Attack for Person Re-Identification
Yuan Bian, Min Liu, Xueping Wang +2
Deep learning-based person re-identification (re-id) models are widely employed in surveillance systems and inevitably inherit the vulnerability of deep networks to adversarial att…